Personal data is any information that relates to an identified or identifiable individual, such as name, address, email, phone number, etc. Processing personal data involves collecting, storing, using, disclosing, or deleting it. Processing personal data poses various risks to the privacy and security of the data subjects,such as unauthorized access, disclosure, modification, or loss. Therefore, processing personal data requires appropriate technical and organizational measures to safeguard the data and to comply with the relevant laws and regulations. One of the most effective practices to safeguard the processing of personal data is to use tokenization. Tokenization is a technique that replaces sensitive data elements with non-sensitive equivalents, called tokens, that have no meaning or value outside of a specific system or context. Tokenization reduces the risk of exposing personal data to unauthorized parties, as the tokens cannot be reversed or linked back to the original data without the proper key or algorithm. Tokenization also helps to minimize the amount of personal data that is stored or transmitted, and to limit the scope of compliance requirements. References = Risk and Information Systems Control Study Manual, Chapter 4, Section 4.3.2.2, p. 196-197